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Comparison of the direct numerical simulation of zero and low adverse pressure gradient turbulent boundary layers

  • V. Kitsios*
  • , C. Atkinson
  • , J. A. Sillero
  • , G. Borrell
  • , A. Gul Gungor
  • , J. Jiménez
  • , J. Soria
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Monash University
  • Technical University of Madrid
  • King Abdulaziz University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıHakem

Özet

Statistics from the direct numerical simulation (DNS) of an adverse pressure gradient (APG) turbulent boundary layer (TBL) are presented. Flow simulations are performed using a TBL DNS code with the desired APG applied via a tailored farfield boundary condition. The APG TBL has a maximum momentum thickness based Reynolds number (Reδ2)of6000, and a near constant ratio of pressure velocity to freestream velocity, over a range of Reδ2 from 3000 to 5000. Streamwise velocity variance profiles are shown to collapse under outer velocity scaling as opposed to friction velocity scaling over this range.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıFluid-Structure-Sound Interactions and Control - Proceedings of the 3rd Symposium on Fluid-Structure-Sound Interactions and Control
EditörlerYu Zhou, A.D. Lucey , Yang Liu, Lixi Huang
YayınlayanSpringer Heidelberg
Sayfalar163-168
Sayfa sayısı6
ISBN (Basılı)9783662488669
DOI'lar
Yayın durumuYayınlandı - 2016
Etkinlik3rd Symposium on Fluid-Structure-Sound Interactions and Control,FSSIC 2015 - Perth, Australia
Süre: 5 Tem 20179 Tem 2017

Yayın serisi

AdıLecture Notes in Mechanical Engineering
ISSN (Basılı)2195-4356
ISSN (Elektronik)2195-4364

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???event.eventtypes.event.conference???3rd Symposium on Fluid-Structure-Sound Interactions and Control,FSSIC 2015
Ülke/BölgeAustralia
ŞehirPerth
Periyot5/07/179/07/17

Bibliyografik not

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2016.

Finansman

We acknowledge the funding from the Australian Research Council (ARC) and European Research Council, and computational resources provided by the NCI, iVEC and PRACE. Julio Soria gratefully acknowledges the support of an ARC Discovery Outstanding Researcher Award fellowship.

Finansörler
National Cancer Institute
European Research Council
Australian Research Council
Partnership for Advanced Computing in Europe AISBL

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